How to Build a Simple LCEL Chain in LangChain with Python
Learn how to build a simple LangChain LCEL chain with Python using ChatPromptTemplate, ChatOpenAI, and StrOutputParser in a beginner-friendly tutorial.
Machine Learning
16 posts
FastAPI vs Flask: Choosing the Right Python API Framework for Serving Your AI Agent
Compare FastAPI and Flask for serving AI agents, ML APIs, LLM backends, and production-ready Python services.
Understanding Agentic AI: The Future of Autonomous Intelligence
📘 Introduction Artificial Intelligence is evolving rapidly. From rule-based systems to generative models, we are now entering a new frontier: Agentic AI. But what exactly is Agentic AI? How does it differ from traditional AI systems, and what opportunities or risks does it bring? In this post, we'll...
The Evolution of AI: From Primitive Neural Networks to Cutting-Edge Large Language Models (LLMs)
📘Introduction Large language models (LLMs) have revolutionized artificial intelligence, unlocking new levels of understanding and creativity. But AI’s journey is far from overnight — it’s been shaped by decades of innovation, setbacks, and breakthroughs. In this post, we’ll explore the pivotal moments in AI’s history — from the...
Retrieval-Augmented Generation (RAG): The Key to Smarter AI Responses
Introduction Retrieval-Augmented Generation (RAG) is an advanced technique in natural language processing that enhances language models by enabling them to retrieve external information in real time. This leads to more accurate and context-aware responses, making RAG ideal for tasks that require up-to-date or domain-specific knowledge,...
Build a Chatbot with Gradio and the Hugging Face Inference API
Introduction The Hugging Face Inference API makes it easy to send prompts to large language models (LLMs) hosted on the Hugging Face Hub. By combining this with Gradio, you can quickly build interactive chatbots and demos with a simple, web-based user interface—without worrying about backend frameworks. In this...
Build a LLM Application with FastAPI and Hugging Face Inference API
Introduction The Hugging Face Inference API makes it easy to send prompts to large language models (LLMs) hosted on the Hugging Face Hub. By combining this with FastAPI—a modern Python web framework—you can build scalable, production-ready APIs that serve LLM-powered responses to your applications. In this...
How to Use LLMs from the Hugging Face Inference API
Introduction The Hugging Face Inference API is a powerful service that lets you interact with large language models (LLMs) hosted on the Hugging Face Hub. Whether you’re building chatbots, summarization tools, or other AI-powered applications, the Inference API makes it simple to send prompts to an LLM and...
How to create a Machine Learning Model in Microsoft Fabric: A Step-by-Step Guide
Introduction The Data Science experience in Microsoft Fabric simplifies the end-to-end machine learning process by enabling users to effortlessly create, train, and deploy Machine Learning Models. In this tutorial, we will explain step-by-step how to create a Machine Learning Model in Fabric. Step 1: Sign in...